Deep Neural Network-Oriented Indicator Method for Inverse Scattering Problems Using Partial Data
Author:
Affiliation:
1. Department of Mathematics, Jinan University, Guangzhou 510632, China
2. Department of Mathematical Sciences, Michigan Technological University, Houghton, MI 49931, USA
Abstract
Funder
NSFC
Publisher
MDPI AG
Link
https://www.mdpi.com/2227-7390/12/4/522/pdf
Reference19 articles.
1. Colton, D.L., Kress, R., and Kress, R. (2019). Inverse Acoustic and Electromagnetic Scattering Theory, Springer.
2. Fréchet derivatives in inverse obstacle scattering;Hettlich;Inverse Probl.,1995
3. Reconstruction of an acoustically sound-soft obstacle from one incident field and the far-field pattern;Johansson;IMA J. Appl. Math.,2007
4. An application of the reciprocity gap functional to inverse scattering theory;Colton;Inverse Probl.,2005
5. A study on orthogonality sampling;Potthast;Inverse Probl.,2010
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